Python validate_tz_from_dtypeの例

コード例 #1

ファイル: datetimes.py プロジェクト: rhysparry/pandas

    def __new__(cls, values, freq=None, tz=None, dtype=None):
        if tz is None and hasattr(values, 'tz'):
            # e.g. DatetimeIndex
            tz = values.tz

        freq, freq_infer = dtl.maybe_infer_freq(freq)

        # if dtype has an embedded tz, capture it
        tz = dtl.validate_tz_from_dtype(dtype, tz)

        result = cls._simple_new(values, freq=freq, tz=tz)
        if freq_infer:
            inferred = result.inferred_freq
            if inferred:
                result.freq = to_offset(inferred)

        # NB: Among other things not yet ported from the DatetimeIndex
        # constructor, this does not call _deepcopy_if_needed
        return result

コード例 #2

    def __new__(cls, values, freq=None, tz=None, dtype=None):
        if tz is None and hasattr(values, 'tz'):
            # e.g. DatetimeIndex
            tz = values.tz

        freq, freq_infer = dtl.maybe_infer_freq(freq)

        # if dtype has an embedded tz, capture it
        tz = dtl.validate_tz_from_dtype(dtype, tz)

        result = cls._simple_new(values, freq=freq, tz=tz)
        if freq_infer:
            inferred = result.inferred_freq
            if inferred:
                result.freq = to_offset(inferred)

        # NB: Among other things not yet ported from the DatetimeIndex
        # constructor, this does not call _deepcopy_if_needed
        return result